招聘
If you are looking for high impact, high growth opportunity with interesting engineering challenges in a fast-paced environment, this is the role for you. We have a number of untapped high impact engineering and business opportunities with high criticality for Amazon.
What will you own?
You will own building the TFS platform to accurately reflect the actual economics of Amazon transportation, globally — spanning the full spectrum from financial reconciliation to intelligent month-end close acceleration. You will design and deliver Agentic AI systems, anomaly detection solutions, and financial insights frameworks that surface actionable intelligence across balance sheet and P&L dimensions, while also building the algorithms and infrastructure needed to correctly account for transportation costs, liabilities, and revenues at scale. The dynamic and growing nature of the transportation business demands an integrated approach to accounting — one that requires deep business understanding, technical acumen, and mathematical rigor to better inform operational decisions. You will shape initiatives that reduce manual intervention and bring intelligence to Amazon's financial close — collaborating closely with partner teams across TFS and MEX to improve reliability, coverage, and speed.
About the team
We, Transportation Financial Systems (TFS) are responsible for building technologies that support financial aspects for Amazon transportation. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world-class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever-expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales not only with volume but also with the business models. We leverage latest technologies in big data, machine learning, real time analytics and high volume, low latency, high availability services.
TFS is 100+ tech team across eight different platforms. We deal with problems of scale. Billions of dollars of spend is automated through our platforms and pipelines. We are a very fast growing org and ramping up our team across all engineering roles. This position offers the opportunity to collaborate with our global product teams and customers across the world and other tech teams in the organization as we raise the bar in delivering innovation.
Our engineering team is completely based out of India, and we build global solutions.
We have a large product and tech roadmap and are significantly ramping our tech team to meet the next level of product requirements for Trans Finance.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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